Goal:
The primary goal of the proposed workshop on Quantum Computing and Data/Knowledge Management (QC&DKM) is to establish a dedicated forum at VLDB for exploring the interface between quantum computing and data/knowledge management. The workshop aims to bring together researchers and practitioners from databases, knowledge representation, information retrieval, and quantum computing to exchange ideas, present recent advances, and identify open research challenges.

Topics of Interest:

• Quantum query processing, optimization, and compilation for data workloads
• Quantum algorithms for database search, join processing, and aggregation
• Quantum-enhanced information retrieval and ranking
• Quantum data structures, indexing, and storage models
• Quantum algorithms for data mining and knowledge discovery
• Quantum machine learning for knowledge extraction and representation learning
• Quantum computing for big data analytics and large-scale graph processing

• Quantum knowledge graphs, ontologies, and semantic reasoning
• Quantum information theory and its application to data semantics and metadata
• Hybrid classical–quantum data management systems and execution frameworks
• Benchmarking, datasets, and evaluation methodologies for quantum data workloads
• Data security, privacy, and trust in quantum environments
• Applications of quantum computing in knowledge-intensive domains (e.g., healthcare, finance, scientific research)

For detailed information see Workshop VLDB’26 QCDKM Proposal (PDF)